- Fixed incorrect handling of classification map nodata value in SpectralHomogenizer (default is now -9999).
- Updated minimal version of specclassify to 0.2.8. This fixes issue #8 (closed) (Homogenization using kNN classifiers uses faulty weights in case SpectralHomogenizer.predict_by_machine_learner() is called with global_clf_threshold=None.).
- Changed minimum and maximum values used for normalization of spectral distance measures. SAM values are now normalized between 0 and 15 degrees SA and all other measures use the 90% percentile as maximum value. This fixes issue #9 (closed) (Harmonization weights are affected by extreme values in the computed spectral distances between spectrum and available regressors.).